Build Regression Models Quickly and Display the Results Using 'ggplot2'

A set of functions to extract results from regression models and plot the effect size using 'ggplot2' seamlessly. While 'broom' is useful to convert statistical analysis objects into tidy data frames, 'coefplot' is adept at showing multivariate regression results. With specific outcome, this package could build regression models automatically, extract results into a data frame and provide a quicker way to summarize models' statistical findings using 'ggplot2'.


A set of functions to extract results from regression models and plot the effect size using 'ggplot2' seamlessly.

News

Version 1.5.0

  • support statistical descriptions that can be used in paper and subgroup analyis
  • adjust covariates in regression models and subgroup regression analysis
  • update plot method for regression

Version 1.0.0

  • support variable names or indexes in 'display.data.frame'
  • minor modifications in 'reg' to support COX regreesion

Version 0.0.3

  • support variable names or indexes in 'reg'
  • minor modifications in 'dataframe.reg' and 'plot.reg' function

Version 0.0.2

  • add argument to dislay.data.frame so it can have better performance when display character or factor variables with many unique values.
  • add a package news file
  • change the vignette

Version 0.0.1

First build

  • Extract results from regression models and plot the effect size using 'ggplot2' seamlessly.

Reference manual

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install.packages("quickReg")

1.5.0 by Xikun Han, 5 months ago


Browse source code at https://github.com/cran/quickReg


Authors: Xikun Han [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports ggplot2, rlang, survival, psych, utils, stats, nortest, dplyr

Suggests ggthemes, knitr, rmarkdown, testthat


See at CRAN